Smart Machine Assistant (SMA) is a self-learning application for determining the optimal settings of an industrial machine in a complex environment. The application uses machine-learning capabilities to identify unknown relationships of machine parameters and KPIs. It gives machine operators concrete recommendations for adjustment of production parameters during operation to increase overall product quality and machine efficiency.

With SMA you can optimize your production by having the right parameterization at hand. Different intuitive visualisations help you to timely identify the misconfiguration of the machine parameters. The provided recommendations and available data in MindSphere® can support you in identifying the root causes of production drops.

In the first step the relevant assets from the shopfloor are connected to MindSphere and Smart Machine Assistant will be configured by MindSphere experts. After this Smart Machine Assistant will gather information about the production process and after a certain period of time the machine-learning component will start to make the first recommendations for the machine operators. From this point on, Smart Machine Assistant will continuously retrain the machine learning model and provide recommendations via the pre-built UI to the machine operator.